Daniel Strohmeier

2.6k total citations · 1 hit paper
18 papers, 1.6k citations indexed

About

Daniel Strohmeier is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Signal Processing. According to data from OpenAlex, Daniel Strohmeier has authored 18 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Signal Processing. Recurrent topics in Daniel Strohmeier's work include Blind Source Separation Techniques (6 papers), Advanced MRI Techniques and Applications (6 papers) and Sparse and Compressive Sensing Techniques (5 papers). Daniel Strohmeier is often cited by papers focused on Blind Source Separation Techniques (6 papers), Advanced MRI Techniques and Applications (6 papers) and Sparse and Compressive Sensing Techniques (5 papers). Daniel Strohmeier collaborates with scholars based in Germany, France and United States. Daniel Strohmeier's co-authors include Alexandre Gramfort, Matti Hämäläinen, Martin Luessi, Denis A. Engemann, Eric B. Larson, Lauri Parkkonen, Christian Brodbeck, Jens Haueisen, Matthieu Kowalski and Yousra Bekhti and has published in prestigious journals such as PLoS ONE, NeuroImage and IEEE Transactions on Medical Imaging.

In The Last Decade

Daniel Strohmeier

18 papers receiving 1.5k citations

Hit Papers

MNE software for processing MEG and EEG data 2013 2026 2017 2021 2013 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Strohmeier Germany 11 1.3k 240 207 172 125 18 1.6k
Martin Luessi United States 11 1.1k 0.9× 156 0.7× 148 0.7× 154 0.9× 95 0.8× 18 1.5k
Aiga Suzuki Japan 3 1.6k 1.2× 306 1.3× 233 1.1× 99 0.6× 181 1.4× 7 1.9k
Eduardo Martínez‐Montes Cuba 17 1.2k 0.9× 268 1.1× 448 2.2× 113 0.7× 80 0.6× 49 1.6k
Sara Gonzalez Switzerland 9 1.4k 1.1× 174 0.7× 204 1.0× 175 1.0× 148 1.2× 11 1.6k
Cheryl J. Aine United States 29 1.7k 1.3× 162 0.7× 373 1.8× 338 2.0× 184 1.5× 65 2.1k
Joseph Muscat Malta 7 967 0.7× 232 1.0× 178 0.9× 73 0.4× 151 1.2× 9 1.2k
Moshe Yuchtman United States 5 1.7k 1.3× 353 1.5× 233 1.1× 124 0.7× 190 1.5× 7 2.0k
Tracey Camilleri Malta 13 1.2k 0.9× 264 1.1× 191 0.9× 89 0.5× 224 1.8× 41 1.6k
Rolando Grave de Peralta Menéndez Switzerland 13 1.0k 0.8× 128 0.5× 202 1.0× 185 1.1× 84 0.7× 21 1.2k
Giancarlo Valente Netherlands 24 1.5k 1.2× 163 0.7× 227 1.1× 356 2.1× 77 0.6× 52 1.9k

Countries citing papers authored by Daniel Strohmeier

Since Specialization
Citations

This map shows the geographic impact of Daniel Strohmeier's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Strohmeier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Strohmeier more than expected).

Fields of papers citing papers by Daniel Strohmeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Strohmeier. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Strohmeier. The network helps show where Daniel Strohmeier may publish in the future.

Co-authorship network of co-authors of Daniel Strohmeier

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Strohmeier. A scholar is included among the top collaborators of Daniel Strohmeier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Strohmeier. Daniel Strohmeier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Strohmeier, Daniel, Katharina Nöh, Dietrich Kohlheyer, et al.. (2022). Communities of Niche-optimized Strains (CoNoS) – Design and creation of stable, genome-reduced co-cultures. Metabolic Engineering. 73. 91–103. 10 indexed citations
2.
Strohmeier, Daniel, Alexander Hunold, Jens Haueisen, et al.. (2019). Sensitivity studies and optimization of arrangements of optically pumped magnetometers in simulated magnetoencephalography. COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering. 38(3). 953–964. 3 indexed citations
3.
Schmidt, Reinhard, et al.. (2018). Elastic Net Regularization in Lorentz force evaluation. NDT & E International. 99. 141–154. 6 indexed citations
4.
Strohmeier, Daniel, et al.. (2016). Rod Driven Frequency Entrainment and Resonance Phenomena. Frontiers in Human Neuroscience. 10. 413–413. 22 indexed citations
5.
Fiedler, Patrique, Daniel Strohmeier, Alexander Hunold, et al.. (2016). Modular multipin electrodes for comfortable dry EEG. PubMed. 2016. 5705–5708. 12 indexed citations
6.
Strohmeier, Daniel, Yousra Bekhti, Jens Haueisen, & Alexandre Gramfort. (2016). The Iterative Reweighted Mixed-Norm Estimate for Spatio-Temporal MEG/EEG Source Reconstruction. IEEE Transactions on Medical Imaging. 35(10). 2218–2228. 26 indexed citations
7.
Strohmeier, Daniel, Martin Luessi, Daniel Güllmar, et al.. (2015). Real-Time MEG Source Localization Using Regional Clustering. Brain Topography. 28(6). 771–784. 15 indexed citations
8.
Fiedler, Patrique, et al.. (2015). SPHARA - A Generalized Spatial Fourier Analysis for Multi-Sensor Systems with Non-Uniformly Arranged Sensors: Application to EEG. PLoS ONE. 10(4). e0121741–e0121741. 26 indexed citations
9.
Strohmeier, Daniel, Alexandre Gramfort, & Jens Haueisen. (2015). MEG/EEG Source Imaging with a Non-Convex Penalty in the Time-Frequency Domain. 21–24. 5 indexed citations
10.
Strohmeier, Daniel, Jens Haueisen, & Alexandre Gramfort. (2014). Improved MEG/EEG source localization with reweighted mixed-norms. HAL (Le Centre pour la Communication Scientifique Directe). 1–4. 10 indexed citations
11.
Gramfort, Alexandre, Martin Luessi, Eric B. Larson, et al.. (2013). MNE software for processing MEG and EEG data. NeuroImage. 86. 446–460. 1206 indexed citations breakdown →
12.
Gramfort, Alexandre, Daniel Strohmeier, Jens Haueisen, Matti Hämäläinen, & Matthieu Kowalski. (2013). Time-frequency mixed-norm estimates: Sparse M/EEG imaging with non-stationary source activations. NeuroImage. 70. 410–422. 161 indexed citations
13.
Haueisen, Jens, Daniel Strohmeier, Tarek Elsarnagawy, et al.. (2012). Reconstruction of quasi-radial dipolar activity using three-component magnetic field measurements. Clinical Neurophysiology. 123(8). 1581–1585. 12 indexed citations
14.
Strohmeier, Daniel, et al.. (2012). Brain Atlas based Region of Interest Selection for Real-Time Source Localization using K-Means Lead Field Clustering and RAP-MUSIC. Biomedizinische Technik/Biomedical Engineering. 57(SI-1 Track-O). 2 indexed citations
15.
Simon, Laurent, et al.. (2011). High frequency oscillations evoked by peripheral magnetic stimulation. PubMed. 83. 1149–1152. 1 indexed citations
16.
Fiedler, Patrique, Daniel Strohmeier, Stefan Griebel, F. Zanow, & Jens Haueisen. (2011). A novel, inexpensive electrode and cap system for dry multichannel EEG. Common Library Network (Der Gemeinsame Bibliotheksverbund). 7. 1 indexed citations
17.
Gramfort, Alexandre, Daniel Strohmeier, Jens Haueisen, Matti Hämäläinen, & Matthieu Kowalski. (2011). Functional Brain Imaging with M/EEG Using Structured Sparsity in Time-Frequency Dictionaries. Lecture notes in computer science. 22. 600–611. 33 indexed citations
18.
Fiedler, Patrique, et al.. (2011). Adaptive spatial harmonic analysis of EEG data using Laplacian eigenspace. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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